Triple

T13082643
Position Surface form Disambiguated ID Type / Status
Subject Annia Aurelia Fadilla E310248 entity
Predicate otherName P39 FINISHED
Object Fadilla
Fadilla, formally Annia Aurelia Fadilla, was a Roman noblewoman of the 2nd century and daughter of Emperor Marcus Aurelius.
 E1019688 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fadilla | Statement: [Annia Aurelia Fadilla, otherName, Fadilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fadilla
Context triple: [Annia Aurelia Fadilla, otherName, Fadilla]
  • A. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • B. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • C. Masmuda
    Masmuda were a major Berber tribal confederation of the High Atlas and western Morocco that played a central role in the rise of the Almohad movement.
  • D. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • E. Najihah
    Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fadilla
Triple: [Annia Aurelia Fadilla, otherName, Fadilla]
Generated description
Fadilla, formally Annia Aurelia Fadilla, was a Roman noblewoman of the 2nd century and daughter of Emperor Marcus Aurelius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fadilla
Target entity description: Fadilla, formally Annia Aurelia Fadilla, was a Roman noblewoman of the 2nd century and daughter of Emperor Marcus Aurelius.
  • A. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • B. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • C. Masmuda
    Masmuda were a major Berber tribal confederation of the High Atlas and western Morocco that played a central role in the rise of the Almohad movement.
  • D. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • E. Najihah
    Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9811add9881908a92186dab5b6d48 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60e7b48819087e4583a5736c1df completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d76cc33c8190ac8113094bcf868b completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 9:01 p.m.